The Cognitive Mechanism of the Practice Effect of Time-Based Prospective Memory: The Role of Time Estimation

The promotional effect of prosocial motivation on time-based prospective memory

Time-based prospective memory (TBPM) is the ability to remember to do a planned task at the right time. In social interactions, people are often motivated to do things for others, which reflects an important factor that influences prospective memory, namely prosocial motivation. According to the motivational cognitive model, prosocial motivation promotes TBPM by paying more attention or adopting more effective strategies. This study explored the effect of prosocial motivation on TBPM under different time-monitoring conditions within the motivational cognitive model framework. One hundred and thirty-one university students participated in this experiment that adopted a 2 (groups: control, prosocial motivation) × 2 (viewing time conditions: limited, unlimited) between-subjects design. The results revealed that the prosocial motivation group had better TBPM performance than the control group under both limited and unlimited viewing time conditions. At the same time, compared with the control group, the prosocial motivation group consumed more internal attention and utilized more strategies under both viewing time conditions, and their external attention was more effective. In addition, the external attention of the prosocial motivation group was higher only when time-monitoring was unlimited. The results of this study further extend knowledge of the motivational cognitive model and expand its scope of application, which has theoretical significance.

The processing mechanism of mixed prospective memory: Changes in internal and external attention

While time-based prospective memory (TBPM) includes only time cues, mixed prospective memory (MPM) is a special form of prospective memory including both time and event cues. Depending on the classification of the clarity of time cues, MPM can be divided into time-period MPM and time-point MPM. While the time cue of the latter is a definite time point, the time cue of the former is a vague time period. As such, MPM and TBPM may have different processing mechanisms due to the additional event cue. This study aimed to investigate whether there are differences in the processing mechanisms between TBPM and the two types of MPM. A total of 240 college students were recruited to participate in the experiment. They were randomly assigned to a TBPM group, time-point MPM group, time-period MPM group, and baseline group. We adopted the performance of ongoing tasks to reflect internal attention indirectly and the frequency of time checks to measure external attention. The results showed that in terms of prospective memory, time-point MPM had the best performance, followed by time-period MPM, while TBPM had the worst performance. In relation to ongoing tasks, the two types of MPM had a better performance than TBPM in some stages, although worse than the baseline. In addition, the two MPMs evoked a lower time monitoring frequency than TBPM under different monitoring conditions. These results suggested that, compared with TBPM, MPM reduced both internal and external attention consumption and achieved better prospective memory performance. Internal attention consumption displayed dynamic changes for both types of MPM, and the time-point MPM had higher internal attention effectiveness than the time-period MPM. These results support the Dynamic Multiprocess Theory and the Attention to Delayed Intention model.

Effect of cognitive style on time-based prospective memory

Field-independent and field-dependent individuals have different reference patterns and cognitive processing preferences. Field-independent individuals tend to rely on internal capabilities and use internal references to process information, while field-dependent individuals mainly rely on external references and focus on external information. Individuals with two cognitive styles have different attention patterns to perform time-based prospective memory (TBPM) tasks, with different effects on their TBPM performance. This study explored the influence of field-independent and field-dependent cognitive styles on TBPM. In Experiment 1, the attention load was manipulated by the difficulty of the ongoing task. The results showed that the field-independent individuals performed better than the field-dependent individuals only under a low-difficulty condition, indicating that the field-independent individuals had advantages in TBPM but were easily affected by the attention load. Experiment 2 further introduced external reminders to provide individuals with more external information and reduce individual attention consumption in internal time information processing to manipulate attention load. The results showed that external cues eliminated the difference between field-independent and field-dependent individuals in TBPM.

The Processing Mechanism of Repetitive Practice Affecting Time-Based Prospective Memory

Time-based prospective memory (TBPM) refers to performing intended actions at a specific time in the future. The TBPM task is very common in daily life, and whether it can be successfully completed can affect our quality of life. Repeated behavior training can usually improve social cognitive performance, and this study focused on exploring whether TBPM performance could improve with repeated behavior training. Meanwhile, we also focused on whether behavior training could reduce attention consumption, both internal and external, attention on TBPM tasks. In this study, a single-factor between-subject design was adopted. Seventy-three undergraduates were assigned to three groups: the control group, the baseline group, and the experimental group. The baseline group only needs to perform ongoing tasks, so the ongoing task performance of the control group will not be affected by TBPM tasks. The control group needs to perform both ongoing and TBPM tasks without practice. The experimental group needs to perform both ongoing and TBPM tasks after 30 exercises. The ongoing task is a typical working memory task. The TBPM task was to press a "1" button every 1 min. The results showed that the performance of ongoing tasks in the baseline group, experimental group, and control group decreased sequentially, and the experimental group had less time monitoring than the control group. The results indicated that behavior training could reduce attention consumption in both internal attention and external attention, but it could not reach the level of automatic processing.

The difference of time-based prospective memory between Type A and Type B individuals under different time monitoring conditions

Time-based prospective memory (TBPM) is affected by many factors, which include Type A and Type B personality types. Type A individuals have a strong desire to complete tasks and a strong sense of time-urgency to complete established tasks before the deadline. Type B individuals have fewer time constraints and usually procrastinate until the deadline to complete the task. Compared with Type B individuals, Type A individuals may perform better in TBPM due to their advantages in time cognition and attitude. This study explores the differences in the TBPM ability between Type A individuals and Type B individuals under different time monitoring conditions. In Experiment 1, there was no limit to how many times participants could check the time. The results showed that the performance of TBPM between Type A individuals and Type B individuals was not different. In Experiment 2, participants could only check the time once during each TBPM task. The results showed that, compared to Type B individuals, Type A individuals performed better in TBPM, with higher time monitoring frequency and slower response speed to the ongoing tasks. These findings suggest that the performance of Type A individuals in TBPM has an advantage only under the restricted time monitoring condition. This advantage is then mainly due to the increase in the attention consumption of Type A individuals in both internal and external attention.

Prosocial motivation can promote the time-based prospective memory of school-age children

In real life, we are often motivated to plan things to be performed at specific times in the future. Some of these intended actions help other individuals, and thus involve time-based prospective memory (TBPM) under prosocial motivational conditions. Children's social development is very rapid, and they have relatively stable prosocial motivation during school age. Few studies have paid attention to this issue. This study focuses on three aspects of this issue: (1) the impact of prosocial motivation on the TBPM of school-age children, (2) whether there are sex differences in this effect, and, for the first time, (3) the processing mechanism by which prosocial motivation affects TBPM in school-age children in the framework of the motivation cognitive model. A total of 112 elementary school students, aged between 8 and 12, participated in the experiment, using a 2 (group: prosocial motivation, control) × 2 (sex: boy, girl) between-subjects design. The results showed that prosocial motivation can significantly reduce children's time difference of TBPM. However, we found no sex differences in the effect of prosocial motivation on TBPM in the above two indicators. With regard to the processing mechanism, we found that the prosocial motivation group paid more attention to external time information throughout the experiment. However, their internal attention and the effectiveness of attention did not improve. These results partially support the motivation cognitive model. Overall, this study found that prosocial motivation relies mainly on external attention to improve the TBPM performance of school-age children.

External Time Monitoring in Time-Based Prospective Memory: An Integrative Framework

We propose a new integrative framework of external time monitoring in prospective memory (PM) tasks and its relation with performance. Starting from existing empirical regularities and our theoretical analysis, the framework predicts that external monitoring in PM tasks comprises a first stage of loose monitoring to keep track of the passage of time, and a subsequent stage of finer-grained monitoring, based on interval reduction, to meet the PM deadline. Following our framework, we predicted and observed in three different datasets (N = 375): (1) a marked increase in external monitoring frequency in the final part of the period of the PM task, well captured by a proportional rate exponential growth function; (2) a positive association between individual compliance with this monitoring pattern and PM performance; (3) a positive relation between monitoring frequency in the time window immediately preceding the PM deadline and PM performance at the individual level; and (4) good individual compliance with an interval reduction pattern in external monitoring, especially in the time window closer to the PM deadline. These results support the proposed integrative framework, which has the potential to foster future research on external monitoring in PM and in other fields of cognitive science.